Deep Depth from Defocus: How Can Defocus Blur Improve 3D Estimation Using Dense Neural Networks?

Marcela Carvalho, Bertrand Le Saux, Pauline Trouvé-Peloux, Andrés Almansa, Frédéric Champagnat. Deep Depth from Defocus: How Can Defocus Blur Improve 3D Estimation Using Dense Neural Networks?. In Laura Leal-Taixé, Stefan Roth 0001, editors, Computer Vision - ECCV 2018 Workshops - Munich, Germany, September 8-14, 2018, Proceedings, Part I. Volume 11129 of Lecture Notes in Computer Science, pages 307-323, Springer, 2018. [doi]

@inproceedings{CarvalhoSTAC18-0,
  title = {Deep Depth from Defocus: How Can Defocus Blur Improve 3D Estimation Using Dense Neural Networks?},
  author = {Marcela Carvalho and Bertrand Le Saux and Pauline Trouvé-Peloux and Andrés Almansa and Frédéric Champagnat},
  year = {2018},
  doi = {10.1007/978-3-030-11009-3_18},
  url = {https://doi.org/10.1007/978-3-030-11009-3_18},
  researchr = {https://researchr.org/publication/CarvalhoSTAC18-0},
  cites = {0},
  citedby = {0},
  pages = {307-323},
  booktitle = {Computer Vision - ECCV 2018 Workshops - Munich, Germany, September 8-14, 2018, Proceedings, Part I},
  editor = {Laura Leal-Taixé and Stefan Roth 0001},
  volume = {11129},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-11009-3},
}